AptEdit Text Editor is a full-featured text editor, HEX editor, HTML editor, column editor, terminal editor, and Programmers Editor for Windows. It offers many powerful features to view and edit just about any text or binary file, and it's an excell
Change Log: 12/30/2013 Version 5.3.3 [Build 1955] I revised the widestring to unicodestring encoding and decoding routines to make use of the WinAPI directly for all code page/charset types. I enhanced TIB_scr ipt to with the SET BATCH_DECIMAL_SEPAR
Change Log: 12/30/2013 Version 5.3.3 [Build 1955] I revised the widestring to unicodestring encoding and decoding routines to make use of the WinAPI directly for all code page/charset types. I enhanced TIB_scr ipt to with the SET BATCH_DECIMAL_SEPAR
来自俄罗斯网站。 eDocEngine VCL is a comprehensive e-document creation component suite for Delphi™ and C++Builder®. eDocEngine can create documents in clipboard, PDF, RTF, HTML, XHTML, EXCEL, TEXT, CSV, Quattro Pro, LOTUS 1-2-3, DIF, SYLK, TIFF, PNG, SVG (X
DISQLite 3.1.3.12 Full source DISQLite3 implements a self-contained, embeddable, zero-configuration SQL database engine. Features include: * ACID transactions, even after system crashes and power failures. * Zero-configuration – no setup or administ
A package of standard and unique components for professional GUI design development using AlphaSkins. AlphaControls is an easy-to-use universal and powerful tool for developing original skinned and non-skinned business/media applications. A lot of a
Version 9.0 + New type of DropDown calendar with support for entering date and time + Highlight holidays, weekends and current day in TPlannerCalendarPickerEh component + Highlight current day and current time in TPlannerControlEh + AllowedOperat io
The ability to identify sentiment in text, referred to as sentiment analysis, is one which is natural to adult humans. This task is, how- ever, not one which a computer can perform by default. Identifying sentiments in an automated, algorithmic mann
sql server 全文检索有两种搜索方式，一种是contains，另一种是freetext。前者是包含，类似于 like ‘%关键词%’，后者则是将一段文字分词以后对每个词进行搜索。 具体语法： contains： SELECT 字段1,字段2 FROM 表名 WHERE contains(字段,'”词一” or “词二”‘) 根据查找结果的相似度排序 SELECT 字段1,字段2 FROM 表名 inner join containstable(表名, 字段,'”词一” or “词二”‘,
